Zai Lab (ZLAB) Return on Sales [ROS] (2019 - 2026)
Zai Lab (ZLAB) posted Return on Sales [ROS] of -71.95% for Q2 2026, down 22.03 percentage points from -49.91% a year earlier and down 2.29 percentage points from the prior quarter.
Zai Lab (ZLAB) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Zai Lab was -58.74%, down 1.01 percentage points year-over-year; for FY2025, it was -49.86%, up 20.85 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for seven consecutive years, with a five-year change of +566.59 percentage points (FY2020 to FY2025).
- In prior years, Zai Lab's Return on Sales [ROS] was -70.71% in FY2024 (+66.73 pp), -137.44% in FY2023 (+50.60 pp), -188.04% in FY2022 (+297.07 pp) and -485.10% in FY2021 (+131.34 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +28.42 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2022, with a gain of 958.93 percentage points; the weakest was Q4 2023, with a drop of 32.92 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -69.66% (Q1 2026), -54.39% (Q4 2025) and -42.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Zai Lab | 2.73 Bn | 45.34 Mn | 58.15 Mn | -71.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -71.95% |
| Mar 31, 2026 | -69.66% |
| Dec 31, 2025 | -54.39% |
| Sep 30, 2025 | -42.05% |
| Jun 30, 2025 | -49.91% |
| Mar 31, 2025 | -52.88% |
| Dec 31, 2024 | -62.25% |
| Sep 30, 2024 | -66.35% |
| Jun 30, 2024 | -75.68% |
| Mar 31, 2024 | -80.68% |
| Dec 31, 2023 | -188.34% |
| Sep 30, 2023 | -120.72% |
| Jun 30, 2023 | -129.97% |
| Mar 31, 2023 | -110.71% |
| Dec 31, 2022 | -155.42% |
| Sep 30, 2022 | -223.47% |
| Jun 30, 2022 | -204.91% |
| Mar 31, 2022 | -170.71% |
| Dec 31, 2021 | -498.58% |
| Sep 30, 2021 | -193.04% |
Zai Lab Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=ZLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ZLAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=ZLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();